Data Scientist @WhartonAIAI | Ph.D. from @Princeton
Joined December 2017
- Tweets 22
- Following 97
- Followers 100
- Likes 204
1 Photos and videos
Haosen Ge, Ph.D. retweeted
6 May 2025
Conformal prediction sets are a useful way to capture uncertainty for LLMs & deep learning models. But they're data-hungry! We propose a semi-bandit algo to learn these sets online. Check out our @icmlconf paper: arxiv.org/abs/2405.13268
Work led by @HaosenGe & with @obastani
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10 Jan 2025
Our paper is cited in Chapter 7 of the 2025 Economic Report of the President! whitehouse.gov/cea/written-m…
10 Jan 2025
Excited to see our paper "Generative AI Can Harm Learning" cited in Ch 7 of the 2025 Economic Report of the President: whitehouse.gov/cea/written-m…
Paper: papers.ssrn.com/sol3/papers.…, co-authored with @obastani @Alpsungu @HaosenGe Ozge & Rei
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6 Sep 2024
Thrilled to see that our paper made some waves! 🚀
5 Sep 2024
Pardon the brag but SO excited to see our paper at the top of @newsycombinator (for like 15 mins). Usually only 15 people read our papers 😅
@obastani @Alpsungu @HaosenGe Ozge Rei @WhartonAIAI
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Haosen Ge, Ph.D. retweeted
30 May 2024
Excited to see Philip K.H. Wong Centre @HKUniversity for promoting my working paper! I examined how Open Government Information mobilizes legal resistance in China but suffers a potenial backlash from local governments. Welcome any comments!
27 May 2024
Read this article by @Handi_Rita_Li highlighting the mixed effects of open government information in China. Chinese Law Blog: ccl.law.hku.hk/chinese-law-b…
Chinese Law eJournal: papers.ssrn.com/sol3/papers.…
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10 Apr 2024
It's fantastic to see the increased interest in our research! I firmly believe it addresses a crucial question that any organization looking to implement AI to support human decision-making should consider.
10 Apr 2024
.@Wharton's@hamsabastani, Haosen Ge from @WhartonAnalytics, & @obastani explore AI-human collaboration challenges in their latest research featured in @Medium's "How to Improve AI Fairness in an Unfair World."
Check it out here: whr.tn/3VRkuys
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10 Apr 2024
3/ To address this issue, we propose a class of new algorithms: compliance robust algorithms. We demonstrate that it is possible to convert any machine learning model into compliance robust models that guarantee improvement in outcome accuracy and fairness.
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10 Apr 2024
2/In a nutshell, our research highlights a key issue with current AI decision support systems: the potential for AI-assisted humans to perform worse than either AI operating alone or humans without AI. This contradicts the very purpose of integrating AI systems.
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2 Feb 2024
Excited to present my work with @hamsabastani and @obastani at the Simons Institute for the Theory of Computing (@SimonsInstitute) !
We delve into the challenges with algorithmic fairness when dealing with human decision makers who can selectively comply.
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Haosen Ge, Ph.D. retweeted
29 Jan 2024
If you play chess, consider signing up for the study 😊🙏
29 Jan 2024
INSEAD (@INSEAD) and Wharton (@Wharton) are conducting a study on AI and algorithmic advice in chess. The study aims to provide insights into how AI and algorithmic advice and their effect on sequential human decision-making. The research, grounded in chess, will offer valuable knowledge to businesses, academia, and the chess community.
🔎 The experiment is fun, lasts about 2-3 hours, and you get to play chess against their custom-made, Stockfish-based chess engine that adjusts its personality to a player's rating/skill.
♟️ Each participant gets compensated according to their rating, and the only requirement for someone to participate is to have either a FIDE rating from 1000-2699.
Registration is open now! Sign up using the link below 👇 wharton.qualtrics.com/jfe/fo…
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10 Nov 2023
It's been an incredible experience to present in this fantastic event! I've learned a lot from the brilliant work of others!
Here's the full schedule for Friday, looking forward to the event!
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Haosen Ge, Ph.D. retweeted
14 Mar 2023
Deadline in 2 days, send us your extended abstracts!!
16 Feb 2023
Submit your work to the Workshop on AI & Analytics for Social Good (due 3/15), to be held @ UMD on 5/5! Learn about privacy, policing, & hiring bias from experts @ssnstudy , @radcummings , Nick Freeman, @dean_c_knox , & Danielle Li!
rhsmith.umd.edu/departments/…
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Haosen Ge, Ph.D. retweeted
12 Feb 2023
The winning moment ~
#Oliveira wins #IEM Katowice and is your 2023 @StarCraft World Champion!
#IEM #ESLProTour
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19 Dec 2022
An extremely fulfilling experience. A huge thanks to mentors @ Princeton Research Computing!
researchcomputing.princeton.…
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Haosen Ge, Ph.D. retweeted
22 Nov 2022
Nothing to see here.
Just an AI system learning to strategically plan world conquest, negotiate with humans in English and then betray them via the game of Diplomacy.
science.org/doi/10.1126/scie…
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Haosen Ge, Ph.D. retweeted
31 Oct 2022
Given a trained #ML model, can we estimate how well it works on new data w/o seeing any labels?
Can we still do it even if both covariates and labels shift in data?
Our #NeurIPS2022 paper shows how to est model perf on new data in this hard case! arxiv.org/pdf/2209.08436.pdf 1/2
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Haosen Ge, Ph.D. retweeted
26 Oct 2022
In our new work - Algorithm Distillation - we show that transformers can improve themselves autonomously through trial and error without ever updating their weights.
No prompting, no finetuning. A single transformer collects its own data and maximizes rewards on new tasks.
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Haosen Ge, Ph.D. retweeted
.@HaosenGe is a PhD candidate at Princeton University whose research seeks to understand how foreign firms leverage political dynamics in host countries to influence policy outcomes.
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